The Online Brain Atlas Reconciliation Tool

描述(申请人提供)：目前在神经成像界(以及神经科学的其他领域)，研究人员使用各种不同的程序和图谱来分割和标记他们工作中感兴趣的大脑区域。结果是，许多不同的标签被用来表示相同的空间区域，并且在某些情况下，相同的标签被用来表示不同的区域。这一众所周知的命名问题具有使交叉研究比较特别是双重研究的负面后果，以前已经通过在同义和/或层级相关的区域标签之间开发语义映射来解决。然而，由不同的地图集描绘的区域之间的空间关系可能相当复杂，很难被理解，并且不能被这种语义映射充分地捕捉到。我们在分析不同脑区之间的空间关系的基础上，发展了一种新的方法来解决这个图谱整合问题。通过将我们的度量应用于目前使用的不同的分割方案，我们发现分区之间的总体一致性相当差，这表明需要一个元图集或系统的程序来在不同的图集之间映射。通过这项拨款提案，我们希望扩展我们为此目的开发的工具和方法，并将它们提供给神经科学界。REST的具体目标将是通过一个互动的、可定制的网站在线提供地图集比较和荟萃分析工具。第二个目标是算法创新，以增强对大脑部分和命名法的一致性分析。这将包括纳入更多的地图集和功能，以及进一步发展总体地图集协调措施的理论。第三个目标是与BIRN和caBIG基础设施集成。这将包括从分析图谱中使用的大脑区域标签到BIRNLex本体的映射、BIRN图谱互操作性框架中的其他Web服务，以及为BIRN网格上的神经图像处理管道添加适当的功能。我们项目的成功完成将加强神经成像数据集的数据集成和荟萃分析，并广泛影响神经学和神经精神病学的基础和临床研究。 与公共卫生相关：脑功能成像技术使基础和临床神经科学发生了革命性的变化，但也存在一些重大挑战--特别是，大量的脑图谱和命名方案进行了交叉研究比较和荟萃分析。我们已经开发了一个框架来处理这个地图集整合问题，包括量化措施和软件工具。拟议的研究将向一般神经成像社区提供这些工具，扩大和改进初步分析，并将与BIRN和caBIG基础设施相结合。

DESCRIPTION (provided by applicant): Currently in the neuroimaging community (and elsewhere in neuroscience), researchers employ a variety of deferent procedures and atlases to parcellate and label brain regions that are of interest in their work. The result is that many dierent labels are used to indicate the same spatial region, and in some cases, the same label is used to indicate dierent regions. This well-known nomenclature problem, which has the negative consequence of making cross-study comparison especially dicult, has previously been addressed by developing semantic mappings between synonymous and/or hierarchically-related region labels. How- ever, the spatial relationships between regions as delineated by dierent atlases can be quite complex, are poorly understood, and are not adequately captured by such semantic mappings. We have developed a new approach to this atlas concordance problem based on analyzing the spatial relationships between various brain parcellations. By applying our metrics to dierent parcellation schemes now in use, we found that the overall concordance between partitions is rather poor, which suggests the need for a \meta-atlas" or systematic procedures for mapping between dierent atlases. Through this grant proposal, we wish to expand upon the tools and methods which we have developed for this purpose, and make them available to the neuroscience community. The rest specic aim will be to make the atlas comparison and meta-analysis tools available online through an interactive, customizable website. The second aim is for algorithmic innovations to enhance the concordance analysis of brain parcellations and nomenclatures. This will include the incorporation of additional atlases and functionality as well as further theoretical developments of overall atlas concordance measures. The third aim is integration with BIRN and caBIG infrastructures. This will include mappings from the brain region labels used in the analyzed atlases to the BIRNLex ontology, additional web services within the BIRN Atlas Interoperability Framework, and adding appropriate functionality to the neuroimage processing pipelines on the BIRN GRID. Successful completion of our project will enhance data integration and meta-analysis of neuroimaging data sets, and broadly impact both basic and clinical research in neurology and neuropsychiatry. PUBLIC HEALTH RELEVANCE: Functional brain imaging techniques have revolutionized basic and clinical neuroscience, but there are some signicant challenges - particularly, a multiplicity of brain atlases and nomenclature schemes that make cross-study comparison and meta analysis dicult. We have developed a framework to deal with this atlas concordance problem, including quantitative measures and software tools. The proposed research will make these tools available to the general neuroimaging community, expand and improve the preliminary analysis and will integrate with the BIRN and caBIG infrastructures.